Hidden Markov Models
Mostrando 13-24 de 82 artigos, teses e dissertações.
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13. PrediÃÃo de palavras baseada em modelos ocultos de Markov / Word prediction based on hidden Markov models
Social inclusion search has been promoting the technology development extending people with special needs computerâs use. Amongst the innumerable auxiliary tools, words prediction is an important accelerator that diminishes the number of actions to be executed and, consequently, time and effort to do it. Word anticipation in a text being typed, called word
Publicado em: 2007
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14. MYOP: um arcabouço para predição de genes ab initio" / MYOP: A framework for building ab initio gene predictors
The demand for efficient approaches for the gene structure prediction has motivated the implementation of different programs. In this work, we have analyzed successful programs that apply the probabilistic approach. We have observed similarities between different implementations, the same mathematical framework called generalized hidden Markov chain (GHMM) i
Publicado em: 2007
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15. A new method for determining the number of gaussians in hidden Markov models for continuos speech recognition systems / Metodo para a determinação do numero de gaussianas em modelos ocultos de Markov para sistemas de reconhecimento de fala continua
Nowadays, HMM-based speech recognition systems are used in many real time processing applications, from cell phones to auto mobile automation. In this context, one important aspect to be considered is the HMM complexity, which directly determines the system computational load. So, in order to make the system feasible for practical purposes, it is interesting
Publicado em: 2006
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16. Conversion grapheme-phone for a system of recognition of voice with support the great vocabularies for the Brazilian Portuguese / Conversão grafema-fone para um sistema de reconhecimento de voz com suporte a grandes vocabulários para o português brasileiro
Speech processing has become a data-driven technology. Hence, the success of research in this area is linked to the existence of public corpora and associated resources, as a phonetic dictionary. In contrast to other languages such as English, one cannot find, in public domain, a Large Vocabulary Continuos Speech Recognition (LVCSR) System for Brazilian Port
Publicado em: 2006
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17. RegiÃes gÃnicas de interesse para o desenvolvimento de um diagnÃstico do Papillomavirus Humano: abordagem in silico
Cervical cancer is the second most common cancer in women and the seventh in the world with 493,000 of new cases per year, and mortality between 50 and 55%. In Brazil, the estimate is 19,260 new cases for 2006, with an estimated risk for 20.31 cases to each 100,000 women. In Brazil, as well as in the others developing countries, the frequency of the Pap smea
Publicado em: 2006
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18. Efeitos da Segmentação em Sistemas Híbridos ANN+HMM
The Hidden Markov Models has become the widely used speech recognition framework due to its solid probabilistic approach. However, this robustness is damaged when the Markov chains are trained under the maximum likelihood method, which is poor in discriminative power. Until now several efficient techniques and algorithms have been developed to increase the p
Publicado em: 2005
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19. Localização do CEP no bloco do endereço em envelopes postais
This work presents a method for Zip Code location on address block of handwritten postal envelopes and also evaluates different strategies of modeling the components present in the address block. The proposed method starts by segmenting the address block into lines in order to execute the segmentation and recognition of the components of each line. Afterward
Publicado em: 2005
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20. Reconhecimento e predição de promotores procarióticos: investigação de uma metodologia in silico baseada em HMMs
Gene expression on prokaryotes initiates when the RNA-polymerase enzyme interacts with DNA regions called promoters. In these regions are located the main regulatory elements of the transcription process. Despite the improvement of in vitro techniques for molecular biology analysis, characterizing and identifying a great number of promoters on a genome is a
Publicado em: 2005
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21. Algoritmos de programação dinâmica usados em modelos markovianos ocultos (HMMs) / Dynamic programming algorithms used in hidden markov models (HMMs)
Esta tese trata dos algoritmos de programação dinâmica que são usados nos Modelos Markovianos Ocultos (HMMs), perfis-HMMs, aplicados no estudo de seqüências biológicas no campo da Bioinformática. O foco é a investigação de técnicas (métodos ou paradigmas) de economia de espaço que proporcionem a melhor economia de tempo, e que sejam adequadas p
Publicado em: 2004
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22. Um sistema para extraÃÃo de informaÃÃo em referÃncias bibliogrÃficas baseado em aprendizagem de mÃquina
Existe atualmente uma gigantesca quantidade de informaÃÃes disponibilizada em formato de texto na Internet e nas redes das grandes corporaÃÃes. Essas informaÃÃes encontram-se em um formato nÃo estruturado, dificilmente manipulÃvel por programas de computador. A ExtraÃÃo de InformaÃÃo (EI) tem como objetivo transformar documentos textuais em um fo
Publicado em: 2004
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23. Hidden Markov models applied to a subsequence of the Xylella fastidiosa genome
Dependencies in DNA sequences are frequently modeled using Markov models. However, Markov chains cannot account for heterogeneity that may be present in different regions of the same DNA sequence. Hidden Markov models are more realistic than Markov models since they allow for the identification of heterogeneous regions of a DNA sequence. In this study we pre
Genetics and Molecular Biology. Publicado em: 2003-12
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24. Treinamento discriminativo de HMMs contínuos para reconhecimento de palavras isoladas / Treinamento discriminativo de HMMs contínuos para reconhecimento de palavras isoladas / Discriminative Training on Continuous HMMs for Isolated Words Recognition / Discriminative Training on Continuous HMMs for Isolated Words Recognition
Tradicionalmente, para a aplicação de reconhecimento de fala, usa-se o critério de maximização da verossimilhança da locução dado o modelo. Desta forma, o algoritmo de treinamento maximiza a probabilidade de o modelo correto gerar a seqüência de eventos acústicos correspondente à locução de entrada. Nos últimos anos vem tendo destaque uma form
Publicado em: 2003